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The method of dynamic mode decomposition in shallow water and a swirling flow problem
Authors:Diana A. Bistrian  Ionel M. Navon
Affiliation:1. Department of Electrical Engineering and Industrial Informatics, Politehnica University of Timisoara, Hunedoara, Romania;2. Department of Scientific Computing, Florida State University, Tallahassee, FL, USA
Abstract:In this paper, a new vector‐filtering criterion for dynamic modes selection is proposed that is able to extract dynamically relevant flow features from dynamic mode decomposition of time‐resolved experimental or numerical data. We employ a novel modes selection criterion in parallel with the classic selection based on modes amplitudes, in order to analyze which of these procedures better highlight the coherent structures of the flow dynamics. Numerical tests are performed on two distinct problems. The efficiency of the proposed criterion is proved in retaining the most influential modes and reducing the size of the dynamic mode decomposition model. By applying the proposed filtering mode technique, the flow reconstruction error is shown to be significantly reduced. Copyright © 2016 John Wiley & Sons, Ltd.
Keywords:dynamic mode decomposition  reduced order modeling  shallow water equations  unsteady swirling flows
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